Closed
Description
In [1]: df = pd.DataFrame(np.random.randint(0, 100, (10, 3)), dtype="Int64", columns=['a', 'b', 'c'])
In [2]: s = pd.Series([1, 2, 3], dtype="int64", index=["a", "b", "c"])
In [3]: df + s
---------------------------------------------------------------------------
NotImplementedError Traceback (most recent call last)
<ipython-input-3-c26e56e5136b> in <module>
----> 1 df + s
~/scipy/pandas/pandas/core/ops/__init__.py in f(self, other, axis, level, fill_value)
715 axis = self._get_axis_number(axis) if axis is not None else 1
716 new_data = _combine_series_frame(
--> 717 self, other, pass_op, axis=axis, str_rep=str_rep
718 )
719 else:
~/scipy/pandas/pandas/core/ops/__init__.py in _combine_series_frame(left, right, func, axis, str_rep)
516
517 array_op = get_array_op(func, str_rep=str_rep)
--> 518 bm = left._mgr.apply(array_op, right=rvalues.T, align_keys=["right"])
519 return type(left)(bm)
520
~/scipy/pandas/pandas/core/internals/managers.py in apply(self, f, align_keys, **kwargs)
393
394 if callable(f):
--> 395 applied = b.apply(f, **kwargs)
396 else:
397 applied = getattr(b, f)(**kwargs)
~/scipy/pandas/pandas/core/internals/blocks.py in apply(self, func, **kwargs)
334 """
335 with np.errstate(all="ignore"):
--> 336 result = func(self.values, **kwargs)
337
338 return self._split_op_result(result)
~/scipy/pandas/pandas/core/ops/array_ops.py in arithmetic_op(left, right, op, str_rep)
198 if should_extension_dispatch(lvalues, rvalues) or isinstance(rvalues, Timedelta):
199 # Timedelta is included because numexpr will fail on it, see GH#31457
--> 200 res_values = op(lvalues, rvalues)
201
202 else:
~/scipy/pandas/pandas/core/ops/common.py in new_method(self, other)
63 other = item_from_zerodim(other)
64
---> 65 return method(self, other)
66
67 return new_method
~/scipy/pandas/pandas/core/arrays/integer.py in integer_arithmetic_method(self, other)
578
579 if getattr(other, "ndim", 0) > 1:
--> 580 raise NotImplementedError("can only perform ops with 1-d structures")
581
582 if isinstance(other, IntegerArray):
NotImplementedError: can only perform ops with 1-d structures
In [4]: df.astype(int) + s
Out[4]:
a b c
0 86 53 66
1 77 26 56
2 11 5 45
3 97 21 84
4 20 72 38
5 62 45 7
6 91 34 20
7 26 5 98
8 18 55 66
9 86 33 80